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Mathematical Problems in Engineering
Volume 2015, Article ID 615468, 11 pages
Research Article

Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis

1The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China
2Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Sipailou No. 2, Nanjing 210096, China
3Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA

Received 30 December 2014; Accepted 20 February 2015

Academic Editor: Gisele Mophou

Copyright © 2015 Yuxiong Ji et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Vehicles travelling on urban streets are heavily influenced by traffic signal controls, pedestrian crossings, and conflicting traffic from cross streets, which would result in bimodal travel time distributions, with one mode corresponding to travels without delays and the other travels with delays. A hierarchical Bayesian bimodal travel time model is proposed to capture the interrupted nature of urban traffic flows. The travel time distributions obtained from the proposed model are then considered to analyze traffic operations and estimate travel time distribution in real time. The advantage of the proposed bimodal model is demonstrated using empirical data, and the results are encouraging.